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Rashid, M. Parvez; Xiao, Yunkai; Gehringer, Edward F. – International Educational Data Mining Society, 2022
Peer assessment can be a more effective pedagogical method when reviewers provide quality feedback. But what makes feedback helpful to reviewees? Other studies have identified quality feedback as focusing on detecting problems, providing suggestions, or pointing out where changes need to be made. However, it is important to seek students'…
Descriptors: Peer Evaluation, Feedback (Response), Natural Language Processing, Artificial Intelligence
Ermagan, Elif; Ermagan, Ismail – Shanlax International Journal of Education, 2022
During the Fourth Industrial Revolution, especially in the internet age, digitalization and smart uses have significantly increased today, and they also deeply affect life and learning forms. Since language education is a difficult process, learners must make great efforts in the world. In this sense, the importance of traditional methods has…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Uses in Education
Sternberg, Robert J. – Roeper Review, 2022
Giftedness is usually conceived of in trait-like terms. But it often is expressed in the world in state-like terms--in response to challenging but often unpredictable situations where it is unclear who will rise to the challenges or even how we could know in advance who would be able to address the challenges at hand. Whereas traits tend to be…
Descriptors: Gifted, Individual Characteristics, Intelligence Quotient, Gifted Education
Oliwa, Robert – Journal of Interactive Learning Research, 2022
The study examined the relationship between student satisfaction with online learning and the intelligence types postulated by Howard Gardner in the multiple intelligences theory. Student satisfaction, being a multifaceted construct, is contingent on an array of factors in an educational setting. Additionally, the introduction of an online…
Descriptors: Student Satisfaction, Multiple Intelligences, Online Courses, Electronic Learning
Landers, Richard N.; Auer, Elena M.; Mersy, Gabriel; Marin, Sebastian; Blaik, Jason – International Journal of Testing, 2022
Assessment trace data, such as mouse positions and their timing, offer interesting and provocative reflections of individual differences yet are currently underutilized by testing professionals. In this article, we present a 10-step procedure to maximize the probability that a trace data modeling project will be successful: (1) grounding the…
Descriptors: Artificial Intelligence, Data Collection, Psychometrics, Data Science
Chen, Liqiang – Journal of Information Systems Education, 2022
As artificial intelligence (AI) becomes one of the most important driving forces in industrial innovations, more business schools, mostly in graduate programs, are introducing AI in their curricula, particularly in information systems (IS) curricula. However, there appears to be a paucity of research on the AI curriculum. This study examines the…
Descriptors: Artificial Intelligence, Business Administration Education, College Curriculum, Curriculum Development
Firoozi, Tahereh; Bulut, Okan; Epp, Carrie Demmans; Naeimabadi, Ali; Barbosa, Denilson – Journal of Applied Testing Technology, 2022
Automated Essay Scoring (AES) using neural networks has helped increase the accuracy and efficiency of scoring students' written tasks. Generally, the improved accuracy of neural network approaches has been attributed to the use of modern word embedding techniques. However, which word embedding techniques produce higher accuracy in AES systems…
Descriptors: Computer Assisted Testing, Scoring, Essays, Artificial Intelligence
Wang, Yu-Yin; Wang, Yi-Shun – Interactive Learning Environments, 2022
While increasing productivity and economic growth, the application of artificial intelligence (AI) may ultimately require millions of people around the world to change careers or improve their skills. These disruptive effects contribute to the general public anxiety toward AI development. Despite the rising levels of AI anxiety (AIA) in recent…
Descriptors: Test Construction, Test Validity, Artificial Intelligence, Anxiety
Brighouse, Harry – Theory and Research in Education, 2022
In "The Tyranny of Merit," Michael Sandel argues that the American society is not meritocratic, that belief that it is causes various social harms, and that some of those harms -- in particular, the costs to social solidarity -- would be caused even if society actually were meritocratic. He also explores the way that the structure of…
Descriptors: Governance, Intelligence, Ability, Social Systems
Tašner, Veronika; Gaber, Slavko – Theory and Research in Education, 2022
Meritocracy is a rationality that has significantly shaped the lives of people in modern societies, and today we all more or less believe that those who are smart, capable and hardworking will succeed in life. This seems to be a rule that applies in more or less all areas of public life. In the Western world, evaluating and judging ourselves and…
Descriptors: Governance, Intelligence, Ability, Social Systems
Fan, Yizhou; van der Graaf, Joep; Lim, Lyn; Rakovic, Mladen; Singh, Shaveen; Kilgour, Jonathan; Moore, Johanna; Molenaar, Inge; Bannert, Maria; Gaševic, Dragan – Metacognition and Learning, 2022
Contemporary research that looks at self-regulated learning (SRL) as processes of learning events derived from trace data has attracted increasing interest over the past decade. However, limited research has been conducted that looks into the validity of trace-based measurement protocols. In order to fill this gap in the literature, we propose a…
Descriptors: Validity, Metacognition, Learning Strategies, Artificial Intelligence
Montuori, Luke M.; Montefiori, Lara – Journal of Intelligence, 2022
For decades, the field of workplace selection has been dominated by evidence that cognitive ability is the most important factor in predicting performance. Meta-analyses detailing the contributions of a wide-range of factors to workplace performance show that cognitive ability's contribution is partly mediated by the learning of task-relevant…
Descriptors: Learning Processes, Cognitive Ability, Job Performance, Psychometrics
Albreiki, Balqis – International Journal of Educational Technology in Higher Education, 2022
Higher education institutions often struggle with increased dropout rates, academic underachievement, and delayed graduations. One way in which these challenges can potentially be addressed is by better leveraging the student data stored in institutional databases and online learning platforms to predict students' academic performance early using…
Descriptors: Automation, Remedial Instruction, At Risk Students, College Students
Sattigeri, Prasanna; Thiagarajan, Jayaraman; Ramamurthy, Karthikeyan; Spanias, Andreas; Banavar, Mahesh; Dixit, Abhinav; Fan, Jie; Malu, Mohit; Jaskie, Kristen; Rao, Sunil; Shanthamallu, Uday; Katoch, Sameeksha – International Journal of Virtual and Personal Learning Environments, 2022
Ion channel sensors have several applications including DNA sequencing, biothreat detection, and medical applications. Ion channel sensors mimic the selective transport mechanism of cell membranes and can detect a wide range of analytes at the molecule level. Analytes are sensed through changes in signal patterns. Papers in the literature have…
Descriptors: Measurement Equipment, Artificial Intelligence, Biochemistry, Acoustics
Sternberg, Robert J. – Roeper Review, 2022
Courage may be the most important gift of all. It is not something we are born with. It is not something that, for the most part, we learn in school. Rather, it is a choice that anyone can make--if they are willing to pay the price. This article discusses the gift of courage. It discusses what courage is, why it is important, and why it crucially…
Descriptors: Personality Traits, Gifted, Resilience (Psychology), Individual Characteristics

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